Quantitative Risk Analyst

Principal Risk Analyst Location: Tualatin, Oregon (hybrid - onsite 3 days a week) Duration: 8 months Our client is seeking a seasoned Principal Risk Analyst to support advanced risk modeling, reporting, and decision support within a highly dynamic and evolving energy environment. This role partners closely with cross-functional teams to translate complex market dynamics into actionable insights, helping leadership navigate uncertainty and optimize performance. The ideal candidate is analytical, adaptable, and confident operating in ambiguous, data-driven environments. Responsibilities • Lead the development, validation, and enhancement of quantitative risk models to evaluate exposures, trading limits, and portfolio performance. • Deliver timely and accurate production reporting, including daily risk and position insights for stakeholders and leadership. • Analyze complex energy contracts and translate business terms into structured system inputs and risk frameworks. • Partner with trading, portfolio management, and finance teams to provide data-driven insights on risk, pricing, and investment decisions. • Identify gaps or inefficiencies in reporting processes and recommend improvements to systems, tools, and workflows. • Support valuation and pricing analysis for structured energy products and long-term agreements. • Apply and interpret key risk metrics (e.g., Value at Risk, Mark-to-Market) to assess financial and operational exposure. • Conduct statistical and quantitative analysis to support hedging strategies and market-based decision making. • Communicate findings clearly to both technical and non-technical stakeholders, including senior leadership. • Ensure alignment with internal risk policies, procedures, and governance frameworks. Qualifications • Bachelor’s degree in finance, economics, engineering, statistics, or a related field; advanced degree preferred. • 8+ years of experience in quantitative risk analysis, preferably within energy, utilities, or commodity markets. • Strong understanding of North American power and/or natural gas markets, including renewables exposure. • Experience with energy trading and risk management platforms (e.g., Endur or similar systems). • Advanced proficiency in Excel and strong experience with Python or similar analytical tools. • Demonstrated expertise in statistical modeling techniques such as time series analysis, regression, or optimization. • Experience working with data visualization and reporting tools (e.g., Power BI, Tableau). • Ability to interpret complex datasets and translate findings into actionable business insights. • Strong communication skills with the ability to influence and collaborate across diverse teams. • Proven ability to operate effectively in ambiguous environments and manage competing priorities. Top 3 Must-Haves (Hard and/or Soft Skills): 1.Navigating ambiguity 1. Endur experience 1. Advanced knowledge of risk management concepts Top 3 Nice-To-Haves (Hard and/or Soft Skills) 1. Advanced financial modeling skills and experience using Microsoft Excel or Python 1. Expert knowledge of enterprise/business acumen 1. Expert written and oral communication skills